What are the hardware requirements for Solar JEV 27B?

Solar JEV 27B requires approximately 54.7 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Solar JEV 27B and how large is it?

Solar JEV 27B is developed by SargeDev, a model with 27b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Solar JEV 27B?

Solar JEV 27B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Solar JEV 27B by SargeDev — VRAM 54.7GB, 256K context

Name: Solar JEV 27B
Author: SargeDev

Solar JEV 27B is an open-source language model by SargeDev. Features: 27b LLM, VRAM: 54.7GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.28.

Abliterated Base model:finetune:huihui-ai/... Base model:huihui-ai/huihui-qw... Calibrated-probabilities Choice Conversational Dataset:sargedev/jev-distill-c... Decision-model Endpoints compatible Jev Noul Qwen3.8 Qwen3 5 text Region:us Safetensors Score Sharded Solar-jev System-one Tensorflow Typed-decisions Uncensored

Model Card on HF 🤗: https://huggingface.co/SargeDev/Solar-JEV-27B

Solar JEV 27B Parameters and Internals

LLM Name	Solar JEV 27B
Repository 🤗	https://huggingface.co/SargeDev/Solar-JEV-27B
Base Model(s)	huihui-ai/Huihui-Qwen3.8-27B-abliterated huihui-ai/Huihui-Qwen3.8-27B-abliterated
Model Size	27b
Required VRAM	54.7 GB
Updated	2026-10-26
Maintainer	SargeDev
Model Type	qwen3_5_text
Model Files	0.0 GB 6.0 GB: 1-of-10 6.0 GB: 2-of-10 5.9 GB: 3-of-10 5.9 GB: 4-of-10 5.9 GB: 5-of-10 6.0 GB: 6-of-10 6.0 GB: 7-of-10 6.0 GB: 8-of-10 5.8 GB: 9-of-10 0.4 GB: 10-of-10 0.8 GB: 11-of-11
Model Architecture	Qwen3_5ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.16.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

Rank the Solar JEV 27B capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Solar JEV 27B

Best Alternatives	Context / RAM	Downloads	Likes
Hemmingway 1	256K / 53.8 GB	12371	880
Hemmingway 1	256K / 53.8 GB	9089	888
JEV 27B	256K / 53.9 GB	178643	79
OrcaSAQ 2 27B	256K / 12.3 GB	1330	169
Qwen3.6 27B OBLITERATED	256K / 53.6 GB	15137	184
Darwin 27B RSI	256K / 53.8 GB	459	14
Solar JEV 27B NVFP4 FP8	256K / 29.2 GB	41	1
RAG Gate 27B	256K / 53.8 GB	243	0
Mnma Qwen3.8 27b Nvfp4	256K / 18.8 GB	527	11
Solar JEV 27B R32	256K / 54.6 GB	53	0

Note: green Score (e.g. "73.2") means that the model is better than SargeDev/Solar-JEV-27B.